JMIR出版物%V 8 %N 8 %P 21767 %T耳鸣智能手机和卡塔尔世界杯8强波胆分析移动健康应用程序:系统识别、分析和评估%A Mehdi,Muntazir %A Stach,Michael %A Riha,Constanze %A Neff,Patrick %A Dode,Albi %A Pryss, r diger %A Schlee,Winfried %A Reichert,Manfred %A Hauck,Franz J %+乌尔姆大学分布式系统研究所，阿尔伯特-爱因斯坦-阿里11，乌尔姆，89081，德国，49 731 50 24140，franz.hauck@uni-ulm.de健康护理移动健康智能手机应用程序耳鸣应用程序质量评估与评价Mhealth移动健康背景:现代智能手机包含复杂的高端硬件功能，以极其可管理的成本提供高计算能力，毫无疑问已成为用户日常生活中不可或缺的一部分。此外，智能手机提供了一个完善的生态系统，很容易通过不同移动平台的市场发现和访问，从而鼓励了许多智能手机应用的开发。这些应用程序不仅用于娱乐目的，而且在医疗保健和医疗用途中也很常见。各种各样的健康和医疗应用程序都存在于耳鸣的背景下，这是一种在没有任何物理外部来源的情况下的虚幻声音感知。目的:在本文中，我们通过提供最新的概述来阐明现有的智能手机应用程序解决耳鸣问题。方法:基于PRISMA指南，我们系统地搜索并识别了最突出的应用市场(即Google Play Store和Apple app Store)上现有的智能手机应用。此外，我们还应用了移动应用评级量表(MARS)来评估和评估应用的总体质量和深度用户体验。结果:我们对智能手机应用进行了系统搜索和筛选，共获得34款应用(其中Android应用34款，iOS应用26款)。 The mean MARS scores (out of 5) ranged between 2.65-4.60. The Tinnitus Peace smartphone app had the lowest score (mean 2.65, SD 0.20), and Sanvello—Stress and Anxiety Help had the highest MARS score (mean 4.60, SD 0.10). The interrater agreement was substantial (Fleiss κ=0.74), the internal consistency was excellent (Cronbach α=.95), and the interrater reliability was found to be both high and excellent—Guttman λ6=0.94 and intraclass correlation, ICC(2,k) 0.94 (95% CI 0.91-0.97), respectively. Conclusions: This work demonstrated that there exists a plethora of smartphone apps for tinnitus. All of the apps received MARS scores higher than 2, suggesting that they all have some technical functional value. However, nearly all identified apps were lacking in terms of scientific evidence, suggesting the need for stringent clinical validation of smartphone apps in future. To the best of our knowledge, this work is the first to systematically identify and evaluate smartphone apps within the context of tinnitus. %M 32808939 %R 10.2196/21767 %U http://mhealth.www.mybigtv.com/2020/8/e21767/ %U https://doi.org/10.2196/21767 %U http://www.ncbi.nlm.nih.gov/pubmed/32808939